Towards a B+-tree with Fluctuation-Free Performance
arXiv:2603.04785v1 Announce Type: new Abstract: Performance predictability is critical for modern DBMSs because index maintenance can trigger rare but severe I/O spikes. In a B...
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arXiv:2603.04785v1 Announce Type: new Abstract: Performance predictability is critical for modern DBMSs because index maintenance can trigger rare but severe I/O spikes. In a B...
arXiv:2603.04787v1 Announce Type: new Abstract: Magnetically actuated fish-like robots offer promising solutions for underwater exploration due to their miniaturization and agility; however, precise control remains...
arXiv:2603.04788v1 Announce Type: new Abstract: Space-air-ground integrated networks (SAGINs) interconnect satellites, uncrewed aerial vehicles (UAVs), and ground devices to enable flexible and ubiquitous wireless services....
arXiv:2603.04790v1 Announce Type: new Abstract: Reinforcement learning (RL) has been extensively employed in a wide range of decision-making problems, such as games and robotics. Recently,...
arXiv:2603.04791v1 Announce Type: new Abstract: We introduce Timer-S1, a strong Mixture-of-Experts (MoE) time series foundation model with 8.3B total parameters, 0.75B activated parameters for each...
arXiv:2603.04793v1 Announce Type: new Abstract: Rotated object detection in remote sensing imagery is hindered by three major bottlenecks: non-adaptive receptive field utilization, inadequate long-range multi-scale...
arXiv:2603.04795v1 Announce Type: new Abstract: Medical image analysis relies on accurate segmentation, and benefits from controllable synthesis (of new training images). Yet both tasks of...
arXiv:2603.04796v1 Announce Type: new Abstract: Segmentation is crucial for brain gliomas as it delineates the glioma s extent and location, aiding in precise treatment planning...
arXiv:2603.04797v1 Announce Type: new Abstract: Large language models (LLMs) have been widely deployed for online generative services, where numerous LLM instances jointly handle workloads with...
arXiv:2603.04799v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for semantic query processing over large corpora. A set of semantic operators derived...
arXiv:2603.04800v1 Announce Type: new Abstract: Post-training quantization (PTQ) with computational invariance for Large Language Models~(LLMs) have demonstrated remarkable advances, however, their application to Multimodal Large...
arXiv:2603.04801v1 Announce Type: new Abstract: Electromagnetic (EM) shielding is widely used to suppress radiated emissions and limit passive EM side-channel leakage. However, shielding does not...
arXiv:2603.04803v1 Announce Type: new Abstract: The limited understanding capacity of the visual encoder in Contrastive Language-Image Pre-training (CLIP) has become a key bottleneck for downstream...
arXiv:2603.04804v1 Announce Type: new Abstract: Resentencing in California remains a complex legal challenge despite legislative reforms like the Racial Justice Act (2020), which allows defendants...
arXiv:2603.04805v1 Announce Type: new Abstract: This paper explores the underlying principles of positional relationships and encodings within Large Language Models (LLMs) and introduces the concept...
arXiv:2603.04806v1 Announce Type: new Abstract: Cross-language collaborative storytelling plays a vital role in children's language learning and cultural development, fostering both expressive ability and intercultural...
arXiv:2603.04809v1 Announce Type: new Abstract: This paper presents our solution for the DL Sprint 4.0, addressing the dual challenges of Bengali Long-Form Speech Recognition (Task...
arXiv:2603.04810v1 Announce Type: new Abstract: This is the fourth of five papers comprising The Semantic Arrow of Time. Parts I-III established that computing's hidden arrow...
arXiv:2603.04811v1 Announce Type: new Abstract: We present Meta-D, an architecture that explicitly leverages categorical scanner metadata such as MRI sequence and plane orientation to guide...
arXiv:2603.04812v1 Announce Type: new Abstract: Polarity is a fundamental reciprocal duality of $n$-dimensional projective geometry which associates to points polar hyperplanes, and more generally $k$-dimensional...
arXiv:2603.04814v1 Announce Type: new Abstract: Persistent conversational AI systems face a choice between passing full conversation histories to a long-context large language model (LLM) and...
arXiv:2603.04815v1 Announce Type: new Abstract: Manipulative communication, such as gaslighting, guilt-tripping, and emotional coercion, is often difficult for individuals to recognize. Existing agentic AI systems...
arXiv:2603.04816v1 Announce Type: new Abstract: Scaling laws have been observed across a wide range of tasks, such as natural language generation and dense retrieval, where...
arXiv:2603.04817v1 Announce Type: new Abstract: We show that, with polarization cues, a lightweight model trained on a small dataset can outperform RGB-only vision foundation models...